code: def get_experiment_id(self):
      if (
          DatabricksNotebookExperimentProvider._resolved_notebook_experiment_id
      ):
          return (
              DatabricksNotebookExperimentProvider._resolved_notebook_experiment_id
          )
  
      source_notebook_id = databricks_utils.get_notebook_id()
      source_notebook_name = databricks_utils.get_notebook_path()
      tags = {
          MLFLOW_EXPERIMENT_SOURCE_ID: source_notebook_id,
      }
  
      if databricks_utils.is_in_databricks_repo_notebook():
          tags[MLFLOW_EXPERIMENT_SOURCE_TYPE] = "REPO_NOTEBOOK"
  
      # With the presence of the source id, the following is a get or create in which it will
      # return the corresponding experiment if one exists for the repo notebook.
      # For non-repo notebooks, it will raise an exception and we will use source_notebook_id
      try:
          experiment_id = MlflowClient().create_experiment(
              source_notebook_name, None, tags
          )
      except MlflowException as e:
          if e.error_code == databricks_pb2.ErrorCode.Name(
              databricks_pb2.INVALID_PARAMETER_VALUE
          ):
              # If determined that it is not a repo notebook
              experiment_id = source_notebook_id
          else:
              raise e
  
      DatabricksNotebookExperimentProvider._resolved_notebook_experiment_id = (
          experiment_id
      )
  
      return experiment_id
  
file_path: mlflow/mlflow/tracking/default_experiment/databricks_notebook_experiment_provider.py
imports: from mlflow.exceptions import MlflowException
  from mlflow.protos import databricks_pb2
  from mlflow.tracking.client import MlflowClient
  from mlflow.tracking.default_experiment.abstract_context import DefaultExperimentProvider
  from mlflow.utils import databricks_utils
  from mlflow.utils.mlflow_tags import MLFLOW_EXPERIMENT_SOURCE_ID, MLFLOW_EXPERIMENT_SOURCE_TYPE
label_desc: Use image node_id 2 for calling the DatabricksNotebookExperimentProvider obj's underlying member method code with example usage: obj.get_experiment_id() and returns: experiment_id, DatabricksNotebookExperimentProvider